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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
159536177 MDU6SXNzdWUxNTk1MzYxNzc= 878 Allow passing a default value (instead of ndarray) for data argument for DataArray joonro 1063143 closed 0     3 2016-06-10T00:18:12Z 2019-08-26T20:36:36Z 2019-08-26T20:36:36Z NONE      

Hi,

First of all, thanks a lot for the amazing module. It seems when I create a DataArray, I have to pass a numpy.ndarray with a correct size for the data argument. It works well when I already have some data, but sometimes I want to create an "empty" DataArray with known coordinates and fill up the data later. For these cases, it would be great if xarray allows passing just a value for the data argument, and fill up all the elements of the array with the value. For example, with pandas, I can do:

python import pandas as pd test = pd.DataFrame(data=.1, index=range(100), columns=['col1', 'col2'])

and the resulting DataFrame would be:

``` python col1 col2 0 0.1 0.1 1 0.1 0.1 2 0.1 0.1 .. ... ... 97 0.1 0.1 98 0.1 0.1 99 0.1 0.1

[100 rows x 2 columns] ```

Thanks a lot!

 
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   completed xarray 13221727 issue
173494017 MDU6SXNzdWUxNzM0OTQwMTc= 987 Return a scalar instead of DataArray when the return value is a scalar joonro 1063143 closed 0     11 2016-08-26T16:37:36Z 2016-08-28T20:19:19Z 2016-08-28T20:19:19Z NONE      

Hi,

I'm not sure how devs will feel about this, but I wanted to ask because I'm getting into this issue frequently.

Currently many methods such as .min(), .max(), .mean() returns a DataArray even for the cases where the return value is a scaler. For example,

``` python import numpy as np import xarray as xr test = xr.DataArray(data=np.ones((10, 10)))

In [6]: test.min() Out[6]: <xarray.DataArray ()> array(1.0) ```

which makes a lot of other things break down and I have to use test.min().values or float(test.min()). I think it would be great that these methods return a scalar when the return value is a scaler. For example,

python In [7]: np.ones((10, 10)).mean() Out[7]: 1.0

Thank you!

 
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   completed xarray 13221727 issue

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